Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractA specific protein-protein interaction accounts for the in vivo substrate selectivity of Ptp3 towards the Fus3 MAP kinase    Next AbstractPerception and kairomonal response of the coccinellid predator (Harmonia axyridis) to the fall armyworm (Spodoptera frugiperda) sex pheromone »

Ecotoxicol Environ Saf


Title:PURE: a web-based decision support system to evaluate pesticide environmental risk for sustainable pest management practices in California
Author(s):Zhan Y; Zhang M;
Address:"Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, USA"
Journal Title:Ecotoxicol Environ Saf
Year:2012
Volume:20120615
Issue:
Page Number:104 - 113
DOI: 10.1016/j.ecoenv.2012.05.019
ISSN/ISBN:1090-2414 (Electronic) 0147-6513 (Linking)
Abstract:"Farmers, policy makers, and other stakeholders seek tools to quantitatively assess pesticide risks for mitigating pesticide impacts on ecosystem and human health. This paper presents the Pesticide Use Risk Evaluation (PURE) decision support system (DSS) for evaluating site-specific pesticide risks to surface water, groundwater, soil, and air across pesticide active ingredient (AI), pesticide product, and field levels. The risk score is determined by the ratio of the predicted environmental concentrations (PEC) to the toxicity value for selected endpoint organism(s); except that the risk score for the air is calculated using the emission potential (EP), which is a pesticide product property for estimating potential volatile organic compound (VOC) emissions by California Environmental Protection Agency (CEPA). The risk scores range from 0 to 100, where 0 represents negligible risk while 100 means the highest risk. The procedure for calculating PEC in surface water was evaluated against monitoring data for 41 pesticide AIs, with a statistically significant correlation coefficient of r=0.82 (p<0.001). In addition, two almond fields in the Central Valley, California were evaluated for pesticide risks as a case study, where the commonly acknowledged high-risk pesticides gained high risk scores. Simazine, one of the most frequently detected pesticides in groundwater, was scored as 74 (the moderate high risk class) to groundwater; and chlorpyrifos, one of the frequently detected pollutants in surface water, was scored as 100 (the high risk class) to surface water. In support of pesticide risk quantitative assessment and use of reduced-risk pesticide selection, the PURE-DSS can be useful to assist growers, pesticide control advisors, and environmental protection organizations in mitigating pesticide use impacts on the environment"
Keywords:Animals California Chlorpyrifos Conservation of Natural Resources/*methods *Decision Support Techniques Ecosystem Humans *Internet Pest Control/*methods Pesticides/*toxicity Prunus/physiology Risk Assessment/*methods;
Notes:"MedlineZhan, Yu Zhang, Minghua eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Netherlands 2012/06/19 Ecotoxicol Environ Saf. 2012 Aug; 82:104-13. doi: 10.1016/j.ecoenv.2012.05.019. Epub 2012 Jun 15"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024